Senior Data Engineer (m/w/d)

Müller Holding GmbH & Co. KG; Ulm; Híbrido; EUR 90 000 - 120 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible and hybrid working

Development opportunities

International team

Collaborative culture

Location-based benefits

Resumo da oferta

Müller Holding GmbH & Co. KG in Ulm is seeking a senior data platform engineer to own the data foundation and build robust pipelines that connect diverse source systems for our data products.

You will enable batch and streaming ingestion, transform raw data into harmonized data products, and ensure stable, scalable, secure operations. Collaboration across locations and teams is essential, with strong English and German language skills preferred.

Qualificações

• At least 4 years of hands-on experience in Cloud Data Engineering with a focus on data integration and building modern data pipelines.
• Deep technical expertise in the Google Cloud Data Stack (BigQuery, Dataflow, Managed Airflow, Dataplex, Pub/Sub, Cloud DLP) or comparable solid experience on AWS/Azure.
• Proven track record in implementing and automating stable Lakehouse pipelines with consistent use of Infrastructure-as-Code (Terraform), modern data transformation frameworks (e.g., dbt Core), and CI/CD practices.
• Solid knowledge of integrating hybrid data landscapes and diverse source systems, including SAP systems (S/4HANA, CDC, ODP/CDS) as well as high-volume streaming workloads.
• Practical experience in implementing modern governance solutions (e.g., Collibra) as well as robust security and compliance standards (e.g., VPC Service Controls, Policy Tags, GoBD).
• Strong focus on the continuous assurance of system stability, scalability, and high data quality.
• Confident handling of agile ways of working as well as professional development standards, and the willingness to actively share and exemplify these technical best practices within the team.
• Business-fluent English and very good German or Romanian language skills.

Responsabilidades

• Take technical ownership of connecting diverse source systems and build a reliable foundation for our data products through stable data pipelines.
• Design and implement robust ingestion patterns – from batch processing to high-volume streaming – while connecting complex data sources and continuously optimizing pipeline performance.
• Transform and process raw data across different data zones into harmonized, high-performance data products.
• Ensure technical excellence and stable pipeline operations, with a strong focus on availability, security, scalability, and cost efficiency.
• Work closely with the Data Platform Engineering Manager to establish modern development standards and support Data Engineers in the new Data Platform Team across Bucharest and Ulm as a technical mentor.
• Partner with colleagues from the business departments to develop data products that solve real business problems.
• Drive the cultural shift from traditional DWH structures towards agile, domain-oriented data product teams built on a strong, centrally provided platform.

Conhecimentos

Cloud Data Engineering

Data integration

Data pipelines

GCP Data Stack

BigQuery

Dataflow

Airflow

Dataplex

Pub/Sub

Cloud DLP

AWS

Azure

Terraform

dbt Core

CI/CD

Collibra

VPC Service Controls

Policy Tags

GoBD

SAP S/4HANA

Ferramentas

BigQuery

Dataflow

Airflow (Managed)

Dataplex

Pub/Sub

Cloud DLP

AWS

Azure

Terraform

dbt Core

CI/CD

Collibra

VPC Service Controls

Policy Tags

GoBD

SAP S/4HANA

Descrição da oferta de emprego

• At least 4 years of hands-on experience in Cloud Data Engineering with a focus on data integration and building modern data pipelines.
• Deep technical expertise in the Google Cloud Data Stack (BigQuery, Dataflow, Managed Airflow, Dataplex, Pub/Sub, Cloud DLP) or comparable solid experience on AWS/Azure.
• Proven track record in implementing and automating stable Lakehouse pipelines with consistent use of Infrastructure-as-Code (Terraform), modern data transformation frameworks (e.g., dbt Core), and CI/CD practices.
• Solid knowledge of integrating hybrid data landscapes and diverse source systems, including SAP systems (S/4HANA, CDC, ODP/CDS) as well as high-volume streaming workloads.
• Practical experience in implementing modern governance solutions (e.g., Collibra) as well as robust security and compliance standards (e.g., VPC Service Controls, Policy Tags, GoBD).
• Strong focus on the continuous assurance of system stability, scalability, and high data quality.
• Confident handling of agile ways of working as well as professional development standards, and the willingness to actively share and exemplify these technical best practices within the team.
• Business-fluent English and very good German or Romanian language skills.

WHAT YOU WILL DRIVE WITH US

• Take technical ownership of connecting diverse source systems and build a reliable foundation for our data products through stable data pipelines.
• Design and implement robust ingestion patterns – from batch processing to high-volume streaming – while connecting complex data sources and continuously optimizing pipeline performance.
• Transform and process raw data across different data zones into harmonized, high-performance data products.
• Ensure technical excellence and stable pipeline operations, with a strong focus on availability, security, scalability, and cost efficiency.
• Work closely with the Data Platform Engineering Manager to establish modern development standards and support Data Engineers in the new Data Platform Team across Bucharest and Ulm as a technical mentor.
• Partner with colleagues from the business departments to develop data products that solve real business problems.
• Drive the cultural shift from traditional DWH structures towards agile, domain-oriented data product teams built on a strong, centrally provided platform.

WHAT WE OFFER

• An international working environment with colleagues across different locations
• Flexible and hybrid working opportunities
• Individual development and training opportunities
• A collaborative team culture with short decision-making processes
• Attractive additional benefits depending on the employment location